This position is responsible for ensuring data accuracy, consistency, and quality across the organization with a primary focus on order to cash and finance data and processes. The ideal candidate will have a strong process and analytical mindset, a deep understanding of data management principles, and the ability to drive data and process initiatives. The ideal candidate will have functional and technical experience order to cash and finance data and processes in manufacturing or CPG organizations. Key functional areas may include, but are not limited to: Order Management & fulfillment, Transportation, Invoicing, Accounts Receivable, Pricing Costing, General Ledger & Chart of Accounts, Accounts Payable & Vendor Data, Financial Reporting & Compliance, Treasury & Cash Management Data Stewardship and Ownership Collaborate with data stewards and data owners to define and document business data rules and data quality rules. Align data quality rules and definitional information with data owners and stewards to ensure consistency and accountability. Perform data profiling to understand data characteristics and identify anomalies. Partner with data stewards to remediate data issues and improve data quality in source systems. Implement data quality standards, procedures, and validation & cleansing rules. Develop and implement data quality metrics and automated monitoring processes. Leverage data management tools to profile and analyze data at aggregate and granular levels to derive insights and actions. Data Governance and Strategy Contribute to the development and implementation of data governance policies, standards, and procedures. Support the key pillars of the data quality program: data definitions, ownership/stewardship identification, and business data quality rules. Collaborate with key stakeholders to understand data requirements and ensure alignment with governance frameworks. Project and Change Management Lead and support data-related projects across experience order to cash and finance domains. Coordinate activities among project teams and data governance working groups for data quality definition and remediation and process enhancements Apply project management skills to drive initiatives from planning through execution. Strategic Leadership in Data Quality Recommend and lead process and data improvement activities across business areas and IT teams. Communicate master data management (MDM) strategies, policies, and initiatives to stakeholders at all levels. Identify, analyze, and resolve data quality issues across assigned data domains. Tooling and Technology Leverage tools and technologies to support data management activities including writing data quality rules, validations, monitoring routines, and workflows.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees